{"id":"W4233901756","doi":"10.23952/jano.1.2019.3.11","title":"A fractional derivative approach to modelling a smart grid-off cluster of houses in an isolated area","year":2019,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund","keywords":"Microgrid; Battery (electricity); Computer science; Energy management; Energy storage; Mathematical optimization; Smart grid; Integer programming; Grid; Production (economics); Linear programming; Power (physics); Energy (signal processing); Electrical engineering; Engineering; Renewable energy; Mathematics; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001181773,0.0001112356,0.0002744907,0.0001937634,0.00001759637,0.00002595373,0.00006297578,0.00007673177,0.00001872945],"category_scores_gemma":[0.000005691239,0.00009829093,0.00003364219,0.0002554044,0.000009555343,0.0002502523,0.000009602952,0.0001515195,9.83403e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003640317,"about_ca_system_score_gemma":0.00001639815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002489157,"about_ca_topic_score_gemma":1.887019e-7,"domain_scores_codex":[0.9992217,0.00001582445,0.0004012471,0.0001070719,0.0001391427,0.0001150101],"domain_scores_gemma":[0.9995885,0.00003502249,0.0001341554,0.00006143075,0.000103768,0.00007714423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003688334,0.00008404849,0.0002189116,0.00001970112,0.00002528173,2.963937e-7,0.0004804403,0.9965419,0.001100719,0.00003860511,0.00002274398,0.001098478],"study_design_scores_gemma":[0.0008331491,0.0001208362,0.0002010958,0.00002464615,0.00001494637,0.000006984936,0.00009011234,0.9982759,0.0001929911,0.00004732214,0.00008525389,0.000106719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1005083,0.00009155806,0.8984871,0.00002530194,0.00007450262,0.0001793061,0.000002526782,0.00001646275,0.0006149831],"genre_scores_gemma":[0.9059833,0.0001535313,0.0936949,0.00007556483,0.00005308457,0.000004927844,0.00001286117,0.00001951661,0.000002317965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8054751,"threshold_uncertainty_score":0.4008188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00820265361346378,"score_gpt":0.1905349788452921,"score_spread":0.1823323252318284,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}